| Company: | Emirates NBD |
|---|---|
| Job Role: | Senior Data Engineer |
| Experience: | (2+years): |
| Vacancy: | 5+ |
| Qualification: | Degree In Computer Science/Mathematics/IT or related field |
| Salary: | Upto 62,500AED/year |
| Location: | Dubai UAE |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
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- The data engineer uses technologies to acquire, ingest and transform big data. They prepare data and conduct feature engineering to be used in machine learning models to support use case execution with a view of achieving overall objectives and targets.
- The role is highly collaborative and works with product owners, business translator and data science teams in building high performance, secure and scalable data pipelines to support data science projects and use case
- The role supports data scientists and Analytics Delivery lead in communicating the design, functioning and output of the analytical models/solutions developed
- Degree in computer science, engineering, mathematics, or equivalent experience
- 2+ years of previous commercial experience as a leader in a data-driven role
- 2+ years of hands-on experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
- 2+ years of experience in ML pipeline for streaming/batch workflow
- Ability to write clean, maintainable, and robust code in Python
- Understanding and expertise of software engineering concepts and best practices
- Knowledge of testing frameworks and libraries
- Experience with analytics (descriptive, predictive, EDA), feature engineer, algorithms, anomaly detection, data quality assessment and python visualization libraries - e.g. matplotlib, seaborn or other
- Comfortable with notebook and source code development - Jupyter, Pycharm/VScode
- Hands-on experience of technologies like Python, Spark/Pyspark, Hadoop/MapReduce/HIVE, Pandas etc.
- Familiarity with query languages and database technologies, CI/CD, testing and validation of data and software
- Tech stack and activities that you would use and preform on a daily basis
- Python
- Spark (PySpark)
- Jupyter
- SQL and No-SQL DBMS
- Git (as source code versioning and CI/CD)
- Exploratory Data Analysis (EDA)
- Imputation Techniques
- Data Linking / Cleansing
- Feature Engineering
- Apache Airflow/ Jenkins scheduling and automation, Github and Github Actions
- Collaborative - able to build strong relations that enable robust debate, and resolve periodic disagreements regarding priorities.
- Excellent interpersonal, and communication skills
- Ability to communicate effectively with technical and non-technical audience
- Ability to work under pressure with a solid sense for setting priorities
- Ability to lead technical work with strong sense of ownership
- Strong command of English language (both verbal and written)
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How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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Note: If you are facing any issues while applying jobs, please let us know by commenting below. We will solve your issue as soon as possible, Advice not to share card details pay money to anyone, and be aware from those types of traps
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